AIMC Topic: Motion Perception
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Optical angular constancy is maintained as a navigational control strategy when pursuing robots moving along complex pathways.
Journal of vision
Mar 24, 2015
The optical navigational control strategy used to intercept moving targets was explored using a real-world object that travels along complex, evasive pathways. Fielders ran across a gymnasium attempting to catch a moving robot that varied in speed an...
A hierarchical model of goal directed navigation selects trajectories in a visual environment.
Neurobiology of learning and memory
Jul 29, 2014
We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippocampus and prefrontal cortex. We show the model's fle...
How multisensory neurons solve causal inference.
Proceedings of the National Academy of Sciences of the United States of America
Aug 10, 2021
Sitting in a static railway carriage can produce illusory self-motion if the train on an adjoining track moves off. While our visual system registers motion, vestibular signals indicate that we are stationary. The brain is faced with a difficult chal...
Exploring and explaining properties of motion processing in biological brains using a neural network.
Journal of vision
Feb 3, 2021
Visual motion perception underpins behaviors ranging from navigation to depth perception and grasping. Our limited access to biological systems constrains our understanding of how motion is processed within the brain. Here we explore properties of mo...
Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning.
Journal of vision
May 1, 2018
Humans can visually estimate the mechanical properties of deformable objects (e.g., cloth stiffness). While much of the recent work on material perception has focused on static image cues (e.g., textures and shape), little is known about whether huma...
A Rotational Motion Perception Neural Network Based on Asymmetric Spatiotemporal Visual Information Processing.
IEEE transactions on neural networks and learning systems
Nov 1, 2017
All complex motion patterns can be decomposed into several elements, including translation, expansion/contraction, and rotational motion. In biological vision systems, scientists have found that specific types of visual neurons have specific preferen...
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